Annotation of digital images for machine learning
US11205287B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 27, 2020 |
| Grant date | Dec 21, 2021 |
| Priority date | — |
| Expiry date | Mar 27, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20081
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Computer-implemented methods and apparatus are provided for annotating digital images of line plots with ground truth labels. For each digital image, such a method includes supplying image data defining the image of a line plot to a machine-learning model trained to generate a set of control points defining a spline corresponding to the line plot. The method further comprises displaying the spline, and the set of control points, superimposed on the image in a graphical user interface and, in response to user manipulation via the graphical user interface of one or more control points, dynamically adjusting the displayed spline in accordance with manipulated control points whereby the displayed spline can be adjusted for conformity with the line plot. The set of control points for the adjusted spline is then stored as a ground truth label for the image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.